Cloud Migration Assessment Tools Statistics 2024 – Everything You Need to Know

Are you looking to add Cloud Migration Assessment Tools to your arsenal of tools? Maybe for your business or personal use only, whatever it is – it’s always a good idea to know more about the most important Cloud Migration Assessment Tools statistics of 2024.

My team and I scanned the entire web and collected all the most useful Cloud Migration Assessment Tools stats on this page. You don’t need to check any other resource on the web for any Cloud Migration Assessment Tools statistics. All are here only šŸ™‚

How much of an impact will Cloud Migration Assessment Tools have on your day-to-day? or the day-to-day of your business? Should you invest in Cloud Migration Assessment Tools? We will answer all your Cloud Migration Assessment Tools related questions here.

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Best Cloud Migration Assessment Tools Statistics

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Cloud Migration Assessment Tools Usage Statistics

  • If you want to pick the peak usage for the period and don’t want to miss any outliers, select the 99th percentile for percentile utilization. [0]
  • Some companies saw costs rise by 20% to 50% just from the increase in usage, even without adding in the cost of new applications or data. [1]

Cloud Migration Assessment Tools Market Statistics

  • And although percentage growth was down three points in the first nine months of 2020 compared to all of 2019, it is worth noting that in absolute dollar terms, the total hyperscale market grew more in 2020 than in 2019. [1]
  • At least so far, the effect of COVID19 has not led to increasing concentration; indeed, the leading hyperscale providers’ market share declined slightly during the pandemic related surge in cloud growth. [1]
  • As of 2018, the XaaS market was nearly US$94 billion, and a preā€“COVID19 forecast predicted a five year annual growth rate of 24%, resulting in a market of over US$340 billion by 2024. [1]
  • Thanks to COVID 19 driving enterprises toward cloud, the cloud market will likely emerge from the pandemic stronger than ever. [1]
  • In 2019, the globalERP software market grew by 9%, resulting in a worldwide value of approximately $39 billion in total software revenue. [2]
  • Asia Pacific is an emerging ERP market expected to achieve acompound annual growth rate of 9.8% through 2027. [2]
  • Asia Pacific is an emerging ERP market expected to achieve a Global market growth is expected to increase at aCAGR of over 8% in the next five years. [2]

Cloud Migration Assessment Tools Software Statistics

  • In 2019, the globalERP software market grew by 9%, resulting in a worldwide value of approximately $39 billion in total software revenue. [2]
  • When asked what went wrong during implementation, only12% of respondents noted poor quality of software. [2]
  • Manufacturing companies are the Manufacturers represented the largest portion at47% of companies looking to purchase ERP software. [2]
  • Following manufacturers, distributors (18%), services (12%) and construction (4%). [2]
  • In a survey ofcompanies looking to purchase ERP software, 89% identified accounting as the most critical ERP function. [2]
  • The biggest influencers in purchasing ERP softwarewere finance and accounting (23%) and IT department employees (23%). [2]
  • On average,26% of workersuse their companyā€™s ERP software. [2]
  • More than half(53%). [2]

Cloud Migration Assessment Tools Adoption Statistics

  • With a comprehensively trained staff, your organization can achieve up to 80% faster cloud adoption. [3]
  • Azure was the only provider to increase their adoption rate. [4]
  • YoY. Google Cloud Platform showed the highest percentage of experimentation , which tends to drive more adoption in the future. [4]

Cloud Migration Assessment Tools Latest Statistics

  • Customers get 442% projected 5 year ROI running Windows on AWS. [3]
  • 21%40% 2 stars 41%60% 3 stars 61%80% 4 stars 81%. [5]
  • More than 70% of companies have now migrated at least some workloads into the public cloud, according to Gartner research. [6]
  • In fact, Gartner predicts that through 2024, 60% of infrastructure and operations leaders will encounter public cloud cost overruns that negatively impact their on. [6]
  • For example, if the performance history is one week and the percentile utilization is the 95th percentile, the assessment sorts the 10 minute sample points for the last week. [0]
  • It sorts them in ascending order and picks the 95th percentile value for rightsizing. [0]
  • The 95th percentile value makes sure you ignore any outliers, which might be included if you picked the 99th percentile. [0]
  • If you want a singleinstance VM servicelevel agreement of 99.9%, consider using Premium. [0]
  • For example, a 10core VM with 20% utilization normally results in a two. [0]
  • This table shows the assessment confidence ratings, which depend on the percentage of available data points Availability of data points Confidence rating 0. [0]
  • 20% 1 star 21. [0]
  • 4160% 3 stars 61. [0]
  • 81 100% 5 stars Low confidence ratings. [0]
  • More efficient cloud operating models are powered by analytics, automation, and AI, with a saving of approximately 30% 50% in ongoing run operations. [7]
  • Easy to consume Cloud improves agility with standardized ā€œappliancelikeā€ service that can be provisioned in minutes in an aaS Opex model, saving approximately 50% in start. [7]
  • Workload placement and optimization Workload placement is based on transparent business parameters, saving approximately 10% 30% on cloud spend. [7]
  • The likely reason increased demand driven by COVID 19, lockdowns, and work from anywhere. [1]
  • According to a March 2020 report, more than 90% of global enterprises will rely on hybrid cloud by 2024. [1]
  • Onpremise versus cloud workload An April 2020 survey of 50 CIOs found that respondents expected to see the proportion of total workload done on premise drop from 59% in 2019 to 38% in 2021, a reduction of 41%. [1]
  • Moreover, they expected public cloud’s proportion of total workload to grow from 23% to 35% in the same timeframe, with private and hybrid cloud reaching 20% and 7% of workload, respectively. [1]
  • Sixty eight percent of the CIOs ranked ā€œmigrating to the public cloud and/or expanding private cloudā€ as the top IT spending driver in 2020, up 20 points from a similar survey only six months earlier. [1]
  • The five largest hyperscale public cloud providers that disclose segmented revenues saw their combined revenues grow by 31% in 2019 to US$94 billion. [1]
  • Despite widespread tech spending weakness in calendar Q1 2020, revenues grew by 31% over the same period in the previous year. [1]
  • In calendar Q2, growth showed a 25% yearover year increase, which rose slightly to 27% in calendar Q3, resulting in a 28% growth rate over the first nine months of the year. [1]
  • Revenues for 2020 are likely to be over US$125 billion, increasing to more than US$160 billion in 2021. [1]
  • The three largest semiconductor companies that disclose segmented data center sales saw their combined revenues grow by only 3% in 2019 to just under US$30 billion. [1]
  • In calendar Q1 2020, they saw growth explode by 42% compared to the previous year. [1]
  • In calendar Q2, their revenues grew further to 51% year over year. [1]
  • Although growth declined to 18% in calendar Q3, this still works out to a 36% increase in the first nine months of 2020. [1]
  • Total 2020 revenues are likely to exceed US$35 billion, and could top US$40 billion in 2021. [1]
  • According to a deep packet inspection report on network traffic during the period from February 1 to April 19, 2020, global cloud traffic as a percentage of total internet traffic rose from 1.26% to 1.83%, up by 45%. [1]
  • Over the same timeframe, overall internet traffic grew by 38%, meaning that cloud traffic, measured by the absolute number of bits per day, rose by almost exactly 100%. [1]
  • Not only were assets up, but so was performance, with the three cloud ETFs yielding an average yearto date return of 47% as of October 30, compared to only 22% for the NASDAQ and 1% for the S&P 500. [1]
  • First, although lockdowns are unlikely to be as uniform as they were earlier in 2020, flareups in the pandemic and more localized lockdowns are still driving WFA and cloud growth. [1]
  • The two largest hyperscale providers accounted for 78% of all revenues among the top five hyperscale providers in 2019, and the largest chip company accounted for 82% of total data center semiconductor revenue in the same year. [1]
  • COVID19 likely will accelerate the growth in flexible consumption models, but even postpandemic, those making this cloud driven shift can see greater financial predictability, lower unit costs from aggregation, and enhanced customer relationships. [1]
  • Given the continued growth in revenues, it seems likely that hyperscale capex will continue to grow at double digits, reaching US$150 billion by 2024. [1]
  • In an April 2020 survey of security professionals, 94% believed that the pandemic increases the level of cyberthreat. [1]
  • Only 15% believed that the cyberthreat will return to previous levels postpandemic, while five out of six believed that the new threat level is permanent. [1]
  • Another study showed that 93% of companies surveyed used the cloud for some or all of their AI needs, requiring less investment in infrastructure and expertise. [1]
  • Cloud computing output rose by 600% between 2010 and 2018, while its energy use rose only 6%. [1]
  • The average annual PUE for large data centers has fallen by 36% over 13 years, from 2.5 in 2007 to 1.59 in 2020. [1]
  • Synergy Research Group, ā€œ Hyperscale operator spending on data centers up 11% in 2019 despite only modest capex growth ,ā€ March 24, 2020. [1]
  • The basic idea is to route a small subset of production traffic, for example 1%, through a deployment that reflects the changes and a newly deployed instance that has the same code and configuration as production. [8]
  • The Top Factors that Determine Cloud Migration 83% Sensitivity of the data accessed or being accessed by the application 82% Importance of the application to daily business operations. [9]
  • 75% Cost associated with migrating the application. [9]
  • Fifty two percent spend $1.2 million or more annually on AWS. [4]
  • By comparison, 52 percent also spend $1.2 million or more on Azure, indicating Azure has closed the gap for the first time in the eleven years of this survey. [4]
  • Thirty three percent reported spending $1.2 million or more on Google Cloud Platform. [4]
  • In a survey of IT decision makers,53% said ERP was an investment priority, in addition to CRM. [2]
  • In a survey of IT decision makers, 50% of companiesare soon acquiring, upgrading or planning to update ERP systems soon. [2]
  • In a 2019 survey,67% of distributors and manufacturersdescribed their implementations as successful or very successful. [2]
  • When asked what went wrong during implementation, only After ERP implementation,49% of companies said they improved all business processes. [2]
  • Only 5% of business said they didnā€™t see any improvement. [2]
  • After ERP implementation, A 2020 report found that93% of organizationsreport their ERP projects as successful. [2]
  • Regarding implementation,minor customization was needed by 10% of respondents, some customization was needed by 33% and significant customization was needed by 37%. [2]
  • Regarding implementation, For a group of companies that underwent ERP implementation, nearly half(49%). [2]
  • Expansion of the initial project scope was the Nearlyone third of companies communicate about ERP implementationbefore selecting the product, 56% do it during the selection process and 13% share information right before going live. [2]
  • ERP implementation led tobusiness process improvement for 95% of businesses. [2]
  • In a study of companies implementing ERP, 85% had a projected timeline for ROI. [2]
  • Of that group,82% achieved ROI in their expected time. [2]
  • Thetop three business goalscited for implementation are achieving cost savings (46%), better performance metrics (46%) and improved efficiencies in business transactions (40%). [2]
  • When asked to selectareas where ERP produced ROI, the top three answers were reduced IT costs (40%), reduced inventory levels (38%) and reduced cycle time (35%). [2]
  • the cost of owning an ERP system is approximately3 5% of annual revenue. [2]
  • For large companies ā€” revenue over $1 billion ā€” the cost of owning an ERP system is2 3% of annual revenue. [2]
  • Other responses included inventory and distribution (67%), CRM and sales (33%) and technology (21%). [2]
  • In a survey of 84% of ERP users had an expected ERP spend of less than2% of annual income. [2]
  • 84% of ERP users had an expected ERP spend of less than 40% of companiesidentified better functionality as their primary reason for implementing an ERP system. [2]
  • In an IDC survey of small businesses with 50ā€“99 employees, 58% supported investing in cloud and hosted solutions. [2]
  • ERP systems are an important investment and should be a top priority, according to53% of IT decision makersin a recent survey. [2]
  • Forrester Research estimates that 2020 cloud subscriptions for business applications accounted for The same study found that cloud based ERP systems had a 21% enterprise application growth rate in the public cloud in 2018. [2]
  • By 2024, An international survey of ERP users indicated64% of companies use SaaS, 21% use cloud ERP and only 15% using on. [2]
  • An international survey of ERP users indicated Cloud deployments account for 44%of all implementations for survey respondents in manufacturing and distribution. [2]
  • According to a Gartner report, by 2024,65% of CIOspredict that artificial intelligence will be integrated into ERP systems. [2]
  • According to a Gartner report, by 2024, 53% of UK CIO’sare looking for more intelligent ERP systems that include technology like machine learning, AI and automation. [2]
  • CIO’s listed 15% percent of organizationsplan to increase their Internet of Things budget. [2]
  • A broader move to more personalization across ERP systems leads82% of UK CIO’sto choose ERP systems with some customization or use UI overlays. [2]
  • A broader move to more personalization across ERP systems leads About80% of IT developerssay AI and machine learning will replace a considerable amount of ERP processes soon. [2]
  • Yet only10 percent of CIOsreported that AI and machine learning are a core part of their ERP. [2]
  • Yet only A 2018 survey in the UK found that53% of IT. [2]
  • A 2018 survey in the UK found that 75% of CIOssay they are leveraging their ERP to engage customers in real time. [2]
  • found that50% fail the first time around. [2]
  • Implementation can take30% longer than anticipated. [2]
  • 51% of companies experience operational disruptionwhen. [2]
  • ERP Implementation 93% of organizations report their ERP projects as successful Return on Investment 95% of companies saw process improvement from ERPs. [2]
  • 1 Manufacturing companies are the most likely adopters of ERP Cloud Technology. [2]
  • 53% of enterprises with ERP use cloud. [2]
  • 85% of IT developers say AI and machine learning will replace business processes. [2]
  • Storage efficiencies such as data deduplication, compression, and compaction can reduce the overall amount of data that needs to be transferred and maintained in the cloud, lowering costs by 70% or more. [10]

I know you want to use Cloud Migration Assessment Tools, thus we made this list of best Cloud Migration Assessment Tools. We also wrote about how to learn Cloud Migration Assessment Tools and how to install Cloud Migration Assessment Tools. Recently we wrote how to uninstall Cloud Migration Assessment Tools for newbie users. Donā€™t forgot to check latest Cloud Migration Assessment Toolsstatistics of 2024.

Reference


  1. microsoft – https://docs.microsoft.com/en-us/azure/migrate/concepts-assessment-calculation.
  2. deloitte – https://www2.deloitte.com/xe/en/insights/industry/technology/technology-media-and-telecom-predictions/2021/cloud-migration-trends-and-forecast.html.
  3. netsuite – https://www.netsuite.com/portal/resource/articles/erp/erp-statistics.shtml.
  4. amazon – https://aws.amazon.com/cloud-migration/.
  5. flexera – https://www.flexera.com/blog/cloud/cloud-computing-trends-2024-state-of-the-cloud-report/.
  6. microsoft – https://docs.microsoft.com/en-us/azure/cloud-adoption-framework/plan/contoso-migration-assessment.
  7. gartner – https://www.gartner.com/smarterwithgartner/6-ways-cloud-migration-costs-go-off-the-rails.
  8. accenture – https://www.accenture.com/us-en/insights/cloud-migration-index.
  9. google – https://cloud.google.com/blog/products/gcp/introducing-kayenta-an-open-automated-canary-analysis-tool-from-google-and-netflix.
  10. vmware – https://cloudhealth.vmware.com/resources/solution-brief/migration-assessment-aws.html.
  11. netapp – https://cloud.netapp.com/blog/azure-cvo-blg-5-azure-data-migration-tools-you-should-be-using.

How Useful is Cloud Migration Assessment Tools

Cloud migration assessment tools are designed to help organizations evaluate their existing IT infrastructure, identify workloads that are suitable for migration to the cloud, and estimate the costs and risks associated with migration. These tools often use automated analysis and data visualization techniques to provide insights into an organization’s IT environment and make recommendations for the migration process.

One of the key benefits of using cloud migration assessment tools is the ability to streamline the assessment process. These tools can help organizations quickly identify which workloads are cloud-ready and which may require modifications before migration. This helps organizations save time and resources by focusing their efforts on the most critical workloads first.

Another benefit of cloud migration assessment tools is the ability to estimate costs and risks associated with migration. By analyzing factors such as data volume, processing power, and network bandwidth, these tools can provide organizations with a detailed cost estimate for their migration project. Additionally, these tools can help organizations identify potential risks, such as data security concerns or performance issues, and develop mitigation strategies.

Despite the benefits of cloud migration assessment tools, there are also limitations to consider. One potential drawback is the reliance on automated analysis. While these tools can provide valuable insights, they may not always capture the full complexity of an organization’s IT environment. Human expertise and judgment are still essential in making critical decisions about migration strategies.

Another limitation of cloud migration assessment tools is the potential for inaccuracies in cost estimates. Due to the dynamic nature of cloud services pricing and the complexity of migration projects, it can be challenging for these tools to provide precise cost estimates. Organizations should be cautious when relying solely on these estimates and should conduct thorough cost analysis before proceeding with a migration project.

In conclusion, cloud migration assessment tools can be a valuable resource for organizations looking to migrate to the cloud. These tools offer streamlined assessment processes, cost estimation, and risk identification, which can help organizations make informed decisions about their migration strategies. However, it is important for organizations to supplement these tools with human expertise and conduct thorough cost analysis to ensure a successful migration project. Ultimately, cloud migration assessment tools should be viewed as a helpful tool in the overall migration process, rather than a one-size-fits-all solution.

In Conclusion

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